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SEA LION V1 7B IT GBTQ by aisingapore

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Model Card on HF 🤗: https://huggingface.co/aisingapore/SEA-LION-v1-7B-IT-GBTQ 

SEA LION V1 7B IT GBTQ Benchmarks

LLME Score: 0.14125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SEA LION V1 7B IT GBTQ (aisingapore/SEA-LION-v1-7B-IT-GBTQ)
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SEA LION V1 7B IT GBTQ Parameters and Internals

LLM NameSEA LION V1 7B IT GBTQ
Repository 🤗https://huggingface.co/aisingapore/SEA-LION-v1-7B-IT-GBTQ 
Model Size7b
Required VRAM5.5 GB
Updated2025-05-20
Maintaineraisingapore
Model Typempt
Instruction-BasedYes
Model Files  5.5 GB
Supported Languagesen zh id vi ms tl my th lo km ta
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMPTForCausalLM
Licensemit
Transformers Version4.38.2
Tokenizer ClassSEABPETokenizer
Padding Token<|padding|>
Vocabulary Size256000
Torch Data Typefloat16

Best Alternatives to SEA LION V1 7B IT GBTQ

Best Alternatives
Context / RAM
Downloads
Likes
Sea Lion 7B Instruct Gptq0K / 5.5 GB50
SEA LION V1 7B IT GPTQ0K / 5.5 GB50
Mpt 7B 8K Chat Gptq0K / 3.8 GB172
Mpt 7B Chat Q80K / 6.9 GB211
Mpt 7B Instruct Q80K / 6.9 GB02
Mpt 7B Chat0K / 13.3 GB80920518
Mpt 7B Instruct0K / 13.3 GB7946470
Mpt 7B Int8 Ov0K / 0 GB130
Mpt 7B 8K Instruct0K / 13.3 GB201227
Sea Lion 7B Instruct0K / 15 GB20823
Note: green Score (e.g. "73.2") means that the model is better than aisingapore/SEA-LION-v1-7B-IT-GBTQ.

Rank the SEA LION V1 7B IT GBTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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